2024 Issue №1

This article presents the results of a study underpinning the Greening Strategy 2030 for the city of Perm. The research employed SWOT analysis — a technique that emerged within economics. In practice, SWOT analysis can be applied to objects of different scales outside profit-driven contexts to achieve social and socioeconomic purposes. In a broad understand­ing, SWOT analysis focuses on socioeconomic objects, an instance of which is urban green infrastructure.

This study identifies and characterises Perm’s green infrastructure elements: conserva­tion areas, urban forests, public and limited access amenities and special-purpose objects. Strengths, weaknesses, opportunities, and threats of Perm’s current landscaping system are described, alongside potential development scenarios for the city’s green spaces up to 2030. A development strategy is outlined to achieve significant progress in landscaping and biodiver­sity conservation. Its other goals involve enhancing the urban environment by converting spontaneously growing vegetation into various landscaped areas, ranging from conservation zones to public amenities, and actively managing these areas. The study also defines the val­ues, vision and mission of green infrastructure, along with its purpose and long- and medi­um-term development plans.

Analysis of climate continentality is a powerful tool for studying and forecasting weath­er. Considering the continentality index enables determining current climate characteristics and predicting potential changes. This study aims to assess climate change in Russia’s North-East by analysing the continentality index as a complex integral indicator of these changes applicable to vast territories.

Although there are many methods for assessing climate continentality, there is no uni­versal methodology. It is proposed in this contribution to employ two of the existing tech­niques. The first focuses on the area’s annual temperature amplitude and geographic latitude. The second involves a calculation of the index based on average January and July tempera­tures, the sum of seasonal precipitation and the area’s latitude. An analysis of the index val­ues of the base and calculation periods leads one to conclude that these values do not change significantly towards either weaker or stronger continentality across the study area.